LENOVO 23496C2
Geekbench AI Score
578
Single Precision Score
350
Half Precision Score
618
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | tatny23 |
| Upload Date | January 20 2025 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3720QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 23496C2 |
| Motherboard | LENOVO 23496C2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3720QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
96% |
485
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
353
5.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
944
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
58% |
363
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (Q)
|
96% |
1007
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
543
4.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
1113
8.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2095
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1778
2.29 IPS |
|
|
Style Transfer (Q)
|
87% |
2044
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
97% |
224
300.0 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
68% |
564
10.9 IPS |
